Reliability and consistency of movement behavior questionnaire (MBQ) in children at COVID-19 social distancing.

Lemes, Vanilson Batista; Fochesatto, Camila Felin; Gaya, Anelise Reis

doi:10.5027/jmh-vol18-issue1(2021)art99

Cited by 19 publications

(41 citation statements)

References 24 publications

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“…Of the studies, 37 used validated self-report measures of PA or related constructs, including the International Physical Activity Questionnaire (IPAQ), 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 PAQ-Adolescents, 67 , 68 , 74 , 75 Global-PAQ, 69 Godin Leisure Time Exercise questionnaire, 86 , 87 24-h PA recall, 88 , 89 Pediatric Functional Activity Brief Scale, 90 , 91 Youth Activity Profile Questionnaire, 70 ecological momentary assessments, 66 MoMo PA Questionnaire, 65 or other validated questionnaires. 73 , 92 Two studies designed and validated new questionnaires for children in lockdown, 93 , 94 and 3 studies used device-based measures of PA, including accelerometry 73 and pedometry. 95 , 96 Four studies used qualitative approaches, including interviews, 97 parent-to-child interviews, 98 open-ended questions, 92 and a case study.…”

Section: Resultsmentioning

confidence: 99%

“… 65 , 69 , 103 , 111 , 115 A large number of studies simply reported subjective changes of screen time or sedentary behavior. 72 , 78 , 84 , 100 , 101 , 103 , 114 , 117 , 119 , 141 , 146 Six studies implemented validated questionnaires that included sedentary behavior/screen time items, 66 , 70 , 93 , 94 , 104 , 147 and 4 studies 97 , 98 , 148 , 149 used qualitative approaches, including semistructured interviews, 97 , 148 focus groups, 149 and parent-to-child interviews. 98 …”

Section: Resultsmentioning

confidence: 99%

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Exploring the impact of COVID-19 on the movement behaviors of children and youth: A scoping review of evidence after the first year

Paterson

Ramage

Moore

et al. 2021

Journal of Sport and Health Science

168

152

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Purpose The objective of this scoping review was to summarize systematically the available literature investigating the relationships between the coronavirus disease 2019 (COVID-19) pandemic and movement behaviors (physical activity, sedentary behavior, and sleep) of school-aged children (aged 5−11 years) and youth (aged 12−17 years) in the first year of the COVID-19 outbreak. Methods Searches for published literature were conducted across 6 databases on 2 separate search dates (November 25, 2020, and January 27, 2021). Results were screened and extracted by 2 reviewers (DCP and KR) independently, using Covidence. Basic numeric analysis and content analysis were undertaken to present thematically the findings of included studies according to the associated impact on each movement behavior. Results A total of 1486 records were extracted from database searches; of those, 150 met inclusion criteria and were included for analysis. Of 150 articles, 110 were empirical studies examining physical activity ( n = 77), sedentary behavior/screen time ( n = 58), and sleep ( n = 55). Results consistently reported declines in physical-activity time, increases in screen time and total sedentary behavior, shifts to later bed and wake times, and increases in sleep duration. The reported impacts on movement behaviors were greater for youth than for children. Conclusion The COVID-19 pandemic is related to changes in the quantity and nature of physical activity, sedentary behavior, and sleep among children and youth. There is an urgent need for policy makers, practitioners, and researchers to develop solutions for attenuating adverse changes in physical activity and screen time among children and youth.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Exploring the impact of COVID-19 on the movement behaviors of children and youth: A scoping review of evidence after the first year

Paterson

Ramage

Moore

et al. 2021

Journal of Sport and Health Science

168

152

View full text Add to dashboard Cite

show abstract

“…Consequently, the prevalence of obesity rates which were already alarming tended to increase [ 20 ]. Another aspect contributing to this scenario was that the Physical Education classes were not applied in the school environment based on its traditional approach [ 17 , 18 , 21 – 24 ]. For example, Physical Education classes were done without an open sports court, involving a non-practical methodology with children alone at home.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Physical Education classes were done without an open sports court, involving a non-practical methodology with children alone at home. Given that context, it is difficult to establish high-intensity activities to promote an increase in physical fitness levels mainly because of motivational aspects [ 17 , 18 , 21 – 25 ].…”

Section: Introductionmentioning

confidence: 99%

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Changes in children’s self-perceived physical fitness: results from a Physical Education internet-based intervention in COVID-19 school lockdown

et al. 2022

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Background Children have a higher chance of decreasing health-related physical fitness during periods of school lockdown due to pandemic situations such as with COVID-19 disease. Aims To establish the changes in children’s self-perceived physical fitness (SPPF) during pandemic COVID-19 social distancing in a school lockdown and to describe the individual prevalence of changes in SPPF according to sex. Methods It is an intervention study with a convenient sample, 67 children (6–13 years old; 50.7% girls). An intervention occurred according to the Brazilian Base Nacional Comum Curricular (BNCC) and the State Education Secretary orientations for remote Physical Education classes. SPPF was evaluated through a questionnaire (QAPA). Generalized estimative equations (GEE) and the prevalence of changes in individual score delta (Δ) from baseline to follow-up determined the effects. Results Positive individual changes in SPPF were observed for 21.2% of girls and 26.4% of boys. Older children presented fewer SPPF total points. There was no interaction between the evaluation period, sex, and age. However, higher baseline SPPF values presented a negative association with the individual SPPF variation ( β = − 2.52%; CI 95% − 3.97 to − 1.07; p = 0.001). Conclusion A remote Physical Education intervention effectively maintained or even increased individual results of children’s SPPF. Thereby, this study suggests that this kind of initiative should be retained for the duration of social distancing and pandemic conditions to help children maintain an active lifestyle and, consequently, achieve health benefits. Improving intervention effectiveness by focusing on girls seems to be a challenge in this matter. Supplementary Information The online version contains supplementary material available at 10.1007/s11332-022-00897-1.

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Comparison of 24-h movement behavior, health-related quality of life, and waist to height ratio between adolescents with healthy body mass index (BMI) and adolescents with BMI in the cardiometabolic risk zone

Lemes

Gaya

2022

Sport Sci Health

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Reliability and consistency of movement behavior questionnaire (MBQ) in children at COVID-19 social distancing.

Abstract: Reliability and consistency of movement behavior questionnaire (MBQ) in children at COVID-19 social distancingFiabilidad y consistencia del cuestionario de comportamiento de movimiento (MBQ) en niños en distancia social COVID-19 Batista-Lemes, V 1 ; Felin-Fochesatto, C 2 ; Reis-Gaya, A 2

Cited by 19 publications

References 24 publications

Exploring the impact of COVID-19 on the movement behaviors of children and youth: A scoping review of evidence after the first year

Exploring the impact of COVID-19 on the movement behaviors of children and youth: A scoping review of evidence after the first year

Changes in children’s self-perceived physical fitness: results from a Physical Education internet-based intervention in COVID-19 school lockdown

Comparison of 24-h movement behavior, health-related quality of life, and waist to height ratio between adolescents with healthy body mass index (BMI) and adolescents with BMI in the cardiometabolic risk zone

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